About the position
At MITRE, we are dedicated to addressing our nation's most pressing challenges through innovative technology and data-driven solutions. As an intern in our data science team, you will have the opportunity to work alongside experienced professionals in a collaborative environment that values diversity, inclusion, and professional growth. Your role will involve applying your academic knowledge in real-world scenarios, contributing to projects that enhance operational effectiveness and efficiency across various sectors, including cybersecurity, healthcare, and defense. You will engage in a variety of tasks that may include data analysis and visualization, augmented decision-making, and the development of trusted analytics. Your work will also involve applied mathematics, statistics, and optimization techniques, as well as simulation and computational analytics. By participating in systems modeling and analysis, you will help uncover insights from complex datasets, enabling better decision-making processes for our clients. This internship is designed to provide you with hands-on experience in next-generation data environments, knowledge discovery, and the application of advanced data science methodologies. You will be part of a team that is committed to making a meaningful impact, not just for our clients but for society as a whole. This is an excellent opportunity to gain valuable experience while contributing to projects that matter.
Responsibilities
- Assist in data analysis and visualization tasks.
- Support augmented decision-making processes and develop trusted analytics.
- Apply mathematical and statistical techniques to solve complex problems.
- Engage in simulation and computational analytics to enhance operational effectiveness.
- Participate in systems modeling and analysis to derive insights from data.
- Contribute to knowledge discovery initiatives and next-gen data environments.
Requirements
- Must be a full-time student pursuing an accredited degree in Data Science or a related field.
- Knowledge of data retrieval methods from databases and other systems using queries and exporting capabilities.
- Understanding of statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting.
- Sustained excellence in academic performance.
Nice-to-haves
- Experience applying data science knowledge in an internship or research position.
- Proficiency in programming languages such as Python (including libraries like scikit-learn, NumPy, pandas), Scala/Java, C/C++/C#, and Objective C.
- Experience with database design and development (SQL, Neo4J, MongoDB) and cloud services like AWS.
- Demonstrated interest in serving the public.
Benefits
- Competitive salary compensation range of $33,000 - $50,000 annually.
- Exceptional professional development opportunities.
- A culture of innovation that embraces diversity and inclusion.
- Flexible work environment with hybrid work location options.
